The potential for cross-infection from microbial contaminated dental impressions has long been recognised. This study set out to investigate impression decontamination procedures currently used in UK dental hospitals (1995) and to see how these may have changed since a previous survey, carried out in 1988. A variety of disinfection solutions and regimes were highlighted both within and between dental hospitals. Several of the disinfecting solutions currently being used have not been specifically tested for efficacy with impression materials. The laboratories were asked to highlight any adverse reactions. Five laboratories reported that some alginates resulted in casts with poor surface properties when immersed in hypochlorite (0.1 and 1%), sodium dichloroisocyanurate, and 2% glutaraldehyde solutions. This paper highlights that there is no universally recognised impression disinfection/sterilisation protocol. It is recommended that all impressions should at least undergo a disinfecting procedure by immersion in 1% sodium hypochlorite for a minimum of 10 minutes.
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http://dx.doi.org/10.1038/sj.bdj.4809092 | DOI Listing |
BMC Pulm Med
January 2025
Global Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nigeria.
Background: Cannabis is the third most widely used psychoactive substance globally, and its consumption has been increasing, particularly with the growing trend of legalization for medicinal and recreational use. Recent studies have raised concerns about the potential impact of cannabis on respiratory health, specifically the risk of asthma, a significant public health concern. This systematic review aimed to consolidate research on the association between cannabis use and the risk of asthma.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Department of Surgery, Faculty of Medicine, University of Salamanca, Salamanca, Spain.
Background: The aim of this study was to analyze the influence of good metabolic control, based on glycosylated hemoglobin (HbA1c) levels, on oral health status and the need for orthodontic treatment in children.
Methods: This cross-sectional study was carried out at the Dental Clinic of the University of Salamanca (Spain) during the years 2020 and 2024. A total of 260 children with type 1 diabetes (aged between 6 and 12 years) participated.
BMC Oral Health
January 2025
Dentistry and Maxillo-Facial Surgery Unit, Department of Surgery, Dentistry, Paediatrics and Gynaecology (DIPSCOMI), University of Verona, Piazzale L.A. Scuro 10, 37134, Verona, Italy.
Introduction: Orofacial cleft impacts jawbone and dental development and function, often with consequences for oral health. The first in this two-part systematic review of the literature on oral health in persons with cleft lip and/or palate focuses on periodontal parameters and composition of oral bacterial flora, while the second analyzes data on dental caries.
Materials And Methods: Four databases (PubMed, Cochrane, Scopus, Web of Science) were searched for studies that compared periodontal parameters, caries index, and microbiota composition between persons with cleft lip and/or palate and healthy controls.
Insights Imaging
January 2025
Diagnostic and Interventional Radiology, University Hospital of Zurich, University Zurich, Zurich, Switzerland.
Objectives: To compare and correlate bone edema volume detected by 3D-short-tau-inversion-recovery (STIR) sequence to osseous decay detected by a T1-based sequence and conventional panoramic radiography (OPT).
Materials And Methods: Patients with clinical evidence of apical periodontitis were included retrospectively and received OPT as well as MRI of the viscerocranium including a 3D-STIR and a 3D-T1 gradient echo sequence. Bone edema was visualized using the 3D-STIR sequence and periapical hard tissue changes were evaluated using the 3D-T1 sequence.
Sci Rep
January 2025
Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Kagawa University, 1750-1, Ikenobe, Miki-cho, Kita-gun, Takamatsu, 761-0793, Kagawa, Japan.
This study aims to evaluate the potential enhancement in implant classification performance achieved by incorporating artificially generated images of commercially available products into a deep learning process of dental implant classification using panoramic X-ray images. To supplement an existing dataset of 7,946 in vivo dental implant images, a three-dimensional scanner was employed to create implant surface models. Subsequently, implant surface models were used to generate two-dimensional X-ray images, which were compiled along with original images to create a comprehensive dataset.
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